Dataset statistics
| Number of variables | 27 |
|---|---|
| Number of observations | 167375 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1525 |
| Duplicate rows (%) | 0.9% |
| Total size in memory | 34.5 MiB |
| Average record size in memory | 216.0 B |
Variable types
| Unsupported | 2 |
|---|---|
| Categorical | 5 |
| Numeric | 20 |
accident_year has constant value "2020" | Constant |
| Dataset has 1525 (0.9%) duplicate rows | Duplicates |
generic_make_model has a high cardinality: 692 distinct values | High cardinality |
vehicle_location_restricted_lane is highly correlated with skidding_and_overturning and 4 other fields | High correlation |
skidding_and_overturning is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
hit_object_in_carriageway is highly correlated with vehicle_location_restricted_lane and 4 other fields | High correlation |
vehicle_leaving_carriageway is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
hit_object_off_carriageway is highly correlated with vehicle_location_restricted_lane and 4 other fields | High correlation |
vehicle_left_hand_drive is highly correlated with vehicle_location_restricted_lane and 2 other fields | High correlation |
age_of_driver is highly correlated with age_band_of_driver | High correlation |
age_band_of_driver is highly correlated with age_of_driver | High correlation |
engine_capacity_cc is highly correlated with propulsion_code and 1 other fields | High correlation |
propulsion_code is highly correlated with engine_capacity_cc and 1 other fields | High correlation |
age_of_vehicle is highly correlated with engine_capacity_cc and 1 other fields | High correlation |
driver_imd_decile is highly correlated with driver_home_area_type | High correlation |
driver_home_area_type is highly correlated with driver_imd_decile | High correlation |
vehicle_manoeuvre is highly correlated with vehicle_direction_from and 7 other fields | High correlation |
vehicle_direction_from is highly correlated with vehicle_manoeuvre | High correlation |
vehicle_direction_to is highly correlated with vehicle_manoeuvre | High correlation |
vehicle_location_restricted_lane is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
skidding_and_overturning is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
hit_object_in_carriageway is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
vehicle_leaving_carriageway is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
hit_object_off_carriageway is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
vehicle_left_hand_drive is highly correlated with vehicle_manoeuvre and 5 other fields | High correlation |
sex_of_driver is highly correlated with age_band_of_driver | High correlation |
age_of_driver is highly correlated with age_band_of_driver | High correlation |
age_band_of_driver is highly correlated with sex_of_driver and 2 other fields | High correlation |
driver_imd_decile is highly correlated with driver_home_area_type | High correlation |
driver_home_area_type is highly correlated with age_band_of_driver and 1 other fields | High correlation |
vehicle_location_restricted_lane is highly correlated with skidding_and_overturning and 4 other fields | High correlation |
skidding_and_overturning is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
hit_object_in_carriageway is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
vehicle_leaving_carriageway is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
hit_object_off_carriageway is highly correlated with vehicle_location_restricted_lane and 3 other fields | High correlation |
vehicle_left_hand_drive is highly correlated with vehicle_location_restricted_lane | High correlation |
age_of_driver is highly correlated with age_band_of_driver | High correlation |
age_band_of_driver is highly correlated with age_of_driver | High correlation |
engine_capacity_cc is highly correlated with propulsion_code | High correlation |
propulsion_code is highly correlated with engine_capacity_cc | High correlation |
driver_imd_decile is highly correlated with driver_home_area_type | High correlation |
driver_home_area_type is highly correlated with driver_imd_decile | High correlation |
sex_of_driver is highly correlated with accident_year | High correlation |
driver_home_area_type is highly correlated with accident_year | High correlation |
vehicle_left_hand_drive is highly correlated with accident_year | High correlation |
accident_year is highly correlated with sex_of_driver and 2 other fields | High correlation |
vehicle_type is highly correlated with towing_and_articulation and 1 other fields | High correlation |
towing_and_articulation is highly correlated with vehicle_type and 2 other fields | High correlation |
vehicle_manoeuvre is highly correlated with vehicle_direction_from and 9 other fields | High correlation |
vehicle_direction_from is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
vehicle_direction_to is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
vehicle_location_restricted_lane is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
junction_location is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
skidding_and_overturning is highly correlated with towing_and_articulation and 10 other fields | High correlation |
hit_object_in_carriageway is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
vehicle_leaving_carriageway is highly correlated with towing_and_articulation and 10 other fields | High correlation |
hit_object_off_carriageway is highly correlated with vehicle_manoeuvre and 9 other fields | High correlation |
first_point_of_impact is highly correlated with vehicle_manoeuvre and 8 other fields | High correlation |
vehicle_left_hand_drive is highly correlated with vehicle_manoeuvre and 8 other fields | High correlation |
sex_of_driver is highly correlated with age_of_driver and 3 other fields | High correlation |
age_of_driver is highly correlated with sex_of_driver and 3 other fields | High correlation |
age_band_of_driver is highly correlated with sex_of_driver and 3 other fields | High correlation |
engine_capacity_cc is highly correlated with vehicle_type | High correlation |
driver_imd_decile is highly correlated with sex_of_driver and 3 other fields | High correlation |
driver_home_area_type is highly correlated with sex_of_driver and 3 other fields | High correlation |
vehicle_reference is highly skewed (γ1 = 362.6319019) | Skewed |
accident_index is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
accident_reference is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
towing_and_articulation has 160772 (96.1%) zeros | Zeros |
vehicle_direction_from has 7253 (4.3%) zeros | Zeros |
vehicle_direction_to has 7002 (4.2%) zeros | Zeros |
vehicle_location_restricted_lane has 148988 (89.0%) zeros | Zeros |
junction_location has 67731 (40.5%) zeros | Zeros |
skidding_and_overturning has 136377 (81.5%) zeros | Zeros |
hit_object_in_carriageway has 145392 (86.9%) zeros | Zeros |
vehicle_leaving_carriageway has 136659 (81.6%) zeros | Zeros |
hit_object_off_carriageway has 144089 (86.1%) zeros | Zeros |
first_point_of_impact has 9462 (5.7%) zeros | Zeros |
age_of_vehicle has 4000 (2.4%) zeros | Zeros |
Reproduction
| Analysis started | 2022-02-02 15:44:00.775835 |
|---|---|
| Analysis finished | 2022-02-02 15:45:49.422630 |
| Duration | 1 minute and 48.65 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| 2020 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2020 |
|---|---|
| 2nd row | 2020 |
| 3rd row | 2020 |
| 4th row | 2020 |
| 5th row | 2020 |
Common Values
| Value | Count | Frequency (%) |
| 2020 | 167375 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2020 | 167375 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.549197909 |
| Minimum | 1 |
|---|---|
| Maximum | 999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 999 |
| Range | 998 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 2.53819583 |
|---|---|
| Coefficient of variation (CV) | 1.63839353 |
| Kurtosis | 142489.9006 |
| Mean | 1.549197909 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 362.6319019 |
| Sum | 259297 |
| Variance | 6.442438072 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 1 | 91152 | |
| 2 | 65477 | |
| 3 | 8106 | 4.8% |
| 4 | 1842 | 1.1% |
| 5 | 503 | 0.3% |
| 6 | 171 | 0.1% |
| 7 | 72 | < 0.1% |
| 8 | 25 | < 0.1% |
| 9 | 11 | < 0.1% |
| 10 | 7 | < 0.1% |
| Other values (4) | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 91152 | |
| 2 | 65477 | |
| 3 | 8106 | 4.8% |
| 4 | 1842 | 1.1% |
| 5 | 503 | 0.3% |
| 6 | 171 | 0.1% |
| 7 | 72 | < 0.1% |
| 8 | 25 | < 0.1% |
| 9 | 11 | < 0.1% |
| 10 | 7 | < 0.1% |
| Value | Count | Frequency (%) |
| 999 | 1 | < 0.1% |
| 13 | 1 | < 0.1% |
| 12 | 2 | < 0.1% |
| 11 | 5 | < 0.1% |
| 10 | 7 | < 0.1% |
| 9 | 11 | < 0.1% |
| 8 | 25 | < 0.1% |
| 7 | 72 | < 0.1% |
| 6 | 171 | 0.1% |
| 5 | 503 |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.05130993 |
| Minimum | 1 |
|---|---|
| Maximum | 98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 9 |
| median | 9 |
| Q3 | 9 |
| 95-th percentile | 19 |
| Maximum | 98 |
| Range | 97 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 11.69241242 |
|---|---|
| Coefficient of variation (CV) | 1.163272499 |
| Kurtosis | 41.79629716 |
| Mean | 10.05130993 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.147087048 |
| Sum | 1682338 |
| Variance | 136.7125082 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 9 | 114145 | |
| 1 | 16766 | 10.0% |
| 19 | 10338 | 6.2% |
| 3 | 7523 | 4.5% |
| 5 | 3784 | 2.3% |
| 8 | 2612 | 1.6% |
| 21 | 2501 | 1.5% |
| 11 | 2213 | 1.3% |
| 4 | 1691 | 1.0% |
| 90 | 1185 | 0.7% |
| Other values (10) | 4617 | 2.8% |
| Value | Count | Frequency (%) |
| 1 | 16766 | 10.0% |
| 2 | 1128 | 0.7% |
| 3 | 7523 | 4.5% |
| 4 | 1691 | 1.0% |
| 5 | 3784 | 2.3% |
| 8 | 2612 | 1.6% |
| 9 | 114145 | |
| 10 | 225 | 0.1% |
| 11 | 2213 | 1.3% |
| 16 | 90 | 0.1% |
| Value | Count | Frequency (%) |
| 98 | 1072 | 0.6% |
| 97 | 478 | 0.3% |
| 90 | 1185 | 0.7% |
| 23 | 93 | 0.1% |
| 22 | 189 | 0.1% |
| 21 | 2501 | 1.5% |
| 20 | 898 | 0.5% |
| 19 | 10338 | |
| 18 | 9 | < 0.1% |
| 17 | 435 | 0.3% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2216639283 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 160772 |
| Zeros (%) | 96.1% |
| Negative | 689 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.344229731 |
|---|---|
| Coefficient of variation (CV) | 6.064269188 |
| Kurtosis | 36.58231716 |
| Mean | 0.2216639283 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.136178045 |
| Sum | 37101 |
| Variance | 1.806953569 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 160772 | |
| 9 | 3598 | 2.1% |
| 1 | 1324 | 0.8% |
| -1 | 689 | 0.4% |
| 4 | 645 | 0.4% |
| 5 | 242 | 0.1% |
| 3 | 84 | 0.1% |
| 2 | 21 | < 0.1% |
| Value | Count | Frequency (%) |
| -1 | 689 | 0.4% |
| 0 | 160772 | |
| 1 | 1324 | 0.8% |
| 2 | 21 | < 0.1% |
| 3 | 84 | 0.1% |
| 4 | 645 | 0.4% |
| 5 | 242 | 0.1% |
| 9 | 3598 | 2.1% |
| Value | Count | Frequency (%) |
| 9 | 3598 | 2.1% |
| 5 | 242 | 0.1% |
| 4 | 645 | 0.4% |
| 3 | 84 | 0.1% |
| 2 | 21 | < 0.1% |
| 1 | 1324 | 0.8% |
| 0 | 160772 | |
| -1 | 689 | 0.4% |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.5389873 |
| Minimum | -1 |
|---|---|
| Maximum | 99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 679 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 9 |
| median | 18 |
| Q3 | 18 |
| 95-th percentile | 99 |
| Maximum | 99 |
| Range | 100 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 23.66127375 |
|---|---|
| Coefficient of variation (CV) | 1.210977488 |
| Kurtosis | 6.816089267 |
| Mean | 19.5389873 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.823442978 |
| Sum | 3270338 |
| Variance | 559.8558757 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 18 | 78191 | |
| 9 | 14799 | 8.8% |
| 99 | 12845 | 7.7% |
| 4 | 9040 | 5.4% |
| 5 | 7467 | 4.5% |
| 2 | 7422 | 4.4% |
| 3 | 6872 | 4.1% |
| 7 | 5568 | 3.3% |
| 17 | 5459 | 3.3% |
| 16 | 4740 | 2.8% |
| Other values (10) | 14972 | 8.9% |
| Value | Count | Frequency (%) |
| -1 | 679 | 0.4% |
| 1 | 2091 | 1.2% |
| 2 | 7422 | |
| 3 | 6872 | |
| 4 | 9040 | |
| 5 | 7467 | |
| 6 | 1199 | 0.7% |
| 7 | 5568 | 3.3% |
| 8 | 736 | 0.4% |
| 9 | 14799 |
| Value | Count | Frequency (%) |
| 99 | 12845 | 7.7% |
| 18 | 78191 | |
| 17 | 5459 | 3.3% |
| 16 | 4740 | 2.8% |
| 15 | 1140 | 0.7% |
| 14 | 1409 | 0.8% |
| 13 | 3097 | 1.9% |
| 12 | 1262 | 0.8% |
| 11 | 1165 | 0.7% |
| 10 | 2194 | 1.3% |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.406386856 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 7253 |
| Zeros (%) | 4.3% |
| Negative | 1640 |
| Negative (%) | 1.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 2.718825873 |
|---|---|
| Coefficient of variation (CV) | 0.6170193317 |
| Kurtosis | -1.128623764 |
| Mean | 4.406386856 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.04333357971 |
| Sum | 737519 |
| Variance | 7.392014127 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 25605 | |
| 5 | 23722 | |
| 3 | 22001 | |
| 7 | 21339 | |
| 2 | 13621 | |
| 6 | 13492 | |
| 9 | 12978 | |
| 8 | 12919 | |
| 4 | 12805 | |
| 0 | 7253 | 4.3% |
| Value | Count | Frequency (%) |
| -1 | 1640 | 1.0% |
| 0 | 7253 | 4.3% |
| 1 | 25605 | |
| 2 | 13621 | |
| 3 | 22001 | |
| 4 | 12805 | |
| 5 | 23722 | |
| 6 | 13492 | |
| 7 | 21339 | |
| 8 | 12919 |
| Value | Count | Frequency (%) |
| 9 | 12978 | |
| 8 | 12919 | |
| 7 | 21339 | |
| 6 | 13492 | |
| 5 | 23722 | |
| 4 | 12805 | |
| 3 | 22001 | |
| 2 | 13621 | |
| 1 | 25605 | |
| 0 | 7253 | 4.3% |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.455067961 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 7002 |
| Zeros (%) | 4.2% |
| Negative | 1653 |
| Negative (%) | 1.0% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 2.69693723 |
|---|---|
| Coefficient of variation (CV) | 0.6053638808 |
| Kurtosis | -1.104588061 |
| Mean | 4.455067961 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.02183138814 |
| Sum | 745667 |
| Variance | 7.273470423 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5 | 24192 | |
| 1 | 23537 | |
| 3 | 21901 | |
| 7 | 21870 | |
| 2 | 14379 | |
| 6 | 13525 | |
| 4 | 13346 | |
| 8 | 12992 | |
| 9 | 12978 | |
| 0 | 7002 | 4.2% |
| Value | Count | Frequency (%) |
| -1 | 1653 | 1.0% |
| 0 | 7002 | 4.2% |
| 1 | 23537 | |
| 2 | 14379 | |
| 3 | 21901 | |
| 4 | 13346 | |
| 5 | 24192 | |
| 6 | 13525 | |
| 7 | 21870 | |
| 8 | 12992 |
| Value | Count | Frequency (%) |
| 9 | 12978 | |
| 8 | 12992 | |
| 7 | 21870 | |
| 6 | 13525 | |
| 5 | 24192 | |
| 4 | 13346 | |
| 3 | 21901 | |
| 2 | 14379 | |
| 1 | 23537 | |
| 0 | 7002 | 4.2% |
vehicle_location_restricted_lane
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.537870052 |
| Minimum | -1 |
|---|---|
| Maximum | 99 |
| Zeros | 148988 |
| Zeros (%) | 89.0% |
| Negative | 640 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 99 |
| Maximum | 99 |
| Range | 100 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 25.89839334 |
|---|---|
| Coefficient of variation (CV) | 3.435770737 |
| Kurtosis | 8.528134831 |
| Mean | 7.537870052 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.240266131 |
| Sum | 1261651 |
| Variance | 670.7267778 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 148988 | |
| 99 | 12397 | 7.4% |
| 9 | 2527 | 1.5% |
| 4 | 715 | 0.4% |
| 2 | 687 | 0.4% |
| -1 | 640 | 0.4% |
| 6 | 575 | 0.3% |
| 5 | 316 | 0.2% |
| 8 | 233 | 0.1% |
| 1 | 119 | 0.1% |
| Other values (2) | 178 | 0.1% |
| Value | Count | Frequency (%) |
| -1 | 640 | 0.4% |
| 0 | 148988 | |
| 1 | 119 | 0.1% |
| 2 | 687 | 0.4% |
| 3 | 62 | < 0.1% |
| 4 | 715 | 0.4% |
| 5 | 316 | 0.2% |
| 6 | 575 | 0.3% |
| 7 | 116 | 0.1% |
| 8 | 233 | 0.1% |
| Value | Count | Frequency (%) |
| 99 | 12397 | |
| 9 | 2527 | 1.5% |
| 8 | 233 | 0.1% |
| 7 | 116 | 0.1% |
| 6 | 575 | 0.3% |
| 5 | 316 | 0.2% |
| 4 | 715 | 0.4% |
| 3 | 62 | < 0.1% |
| 2 | 687 | 0.4% |
| 1 | 119 | 0.1% |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.598303211 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 67731 |
| Zeros (%) | 40.5% |
| Negative | 284 |
| Negative (%) | 0.2% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 6 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.285627255 |
|---|---|
| Coefficient of variation (CV) | 1.264528035 |
| Kurtosis | -0.8421346062 |
| Mean | 2.598303211 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.9276256088 |
| Sum | 434891 |
| Variance | 10.79534646 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 67731 | |
| 1 | 36422 | |
| 8 | 25526 | 15.3% |
| 9 | 9373 | 5.6% |
| 2 | 9059 | 5.4% |
| 6 | 6750 | 4.0% |
| 4 | 5154 | 3.1% |
| 5 | 3847 | 2.3% |
| 3 | 2721 | 1.6% |
| 7 | 508 | 0.3% |
| Value | Count | Frequency (%) |
| -1 | 284 | 0.2% |
| 0 | 67731 | |
| 1 | 36422 | |
| 2 | 9059 | 5.4% |
| 3 | 2721 | 1.6% |
| 4 | 5154 | 3.1% |
| 5 | 3847 | 2.3% |
| 6 | 6750 | 4.0% |
| 7 | 508 | 0.3% |
| 8 | 25526 | 15.3% |
| Value | Count | Frequency (%) |
| 9 | 9373 | 5.6% |
| 8 | 25526 | 15.3% |
| 7 | 508 | 0.3% |
| 6 | 6750 | 4.0% |
| 5 | 3847 | 2.3% |
| 4 | 5154 | 3.1% |
| 3 | 2721 | 1.6% |
| 2 | 9059 | 5.4% |
| 1 | 36422 | |
| 0 | 67731 |
skidding_and_overturning
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.920334578 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 136377 |
| Zeros (%) | 81.5% |
| Negative | 662 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 2.49721216 |
|---|---|
| Coefficient of variation (CV) | 2.713374266 |
| Kurtosis | 5.73521314 |
| Mean | 0.920334578 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.708486534 |
| Sum | 154041 |
| Variance | 6.236068573 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 136377 | |
| 9 | 13038 | 7.8% |
| 1 | 10096 | 6.0% |
| 5 | 4254 | 2.5% |
| 2 | 2875 | 1.7% |
| -1 | 662 | 0.4% |
| 3 | 47 | < 0.1% |
| 4 | 26 | < 0.1% |
| Value | Count | Frequency (%) |
| -1 | 662 | 0.4% |
| 0 | 136377 | |
| 1 | 10096 | 6.0% |
| 2 | 2875 | 1.7% |
| 3 | 47 | < 0.1% |
| 4 | 26 | < 0.1% |
| 5 | 4254 | 2.5% |
| 9 | 13038 | 7.8% |
| Value | Count | Frequency (%) |
| 9 | 13038 | 7.8% |
| 5 | 4254 | 2.5% |
| 4 | 26 | < 0.1% |
| 3 | 47 | < 0.1% |
| 2 | 2875 | 1.7% |
| 1 | 10096 | 6.0% |
| 0 | 136377 | |
| -1 | 662 | 0.4% |
hit_object_in_carriageway
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.859979089 |
| Minimum | -1 |
|---|---|
| Maximum | 99 |
| Zeros | 145392 |
| Zeros (%) | 86.9% |
| Negative | 636 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 99 |
| Maximum | 99 |
| Range | 100 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 26.13339657 |
|---|---|
| Coefficient of variation (CV) | 3.32486846 |
| Kurtosis | 8.200251291 |
| Mean | 7.859979089 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.185586887 |
| Sum | 1315564 |
| Variance | 682.9544163 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 145392 | |
| 99 | 12664 | 7.6% |
| 4 | 3252 | 1.9% |
| 10 | 2605 | 1.6% |
| 7 | 942 | 0.6% |
| 11 | 813 | 0.5% |
| -1 | 636 | 0.4% |
| 8 | 261 | 0.2% |
| 9 | 220 | 0.1% |
| 12 | 220 | 0.1% |
| Other values (4) | 370 | 0.2% |
| Value | Count | Frequency (%) |
| -1 | 636 | 0.4% |
| 0 | 145392 | |
| 1 | 109 | 0.1% |
| 2 | 125 | 0.1% |
| 4 | 3252 | 1.9% |
| 5 | 14 | < 0.1% |
| 6 | 122 | 0.1% |
| 7 | 942 | 0.6% |
| 8 | 261 | 0.2% |
| 9 | 220 | 0.1% |
| Value | Count | Frequency (%) |
| 99 | 12664 | |
| 12 | 220 | 0.1% |
| 11 | 813 | 0.5% |
| 10 | 2605 | 1.6% |
| 9 | 220 | 0.1% |
| 8 | 261 | 0.2% |
| 7 | 942 | 0.6% |
| 6 | 122 | 0.1% |
| 5 | 14 | < 0.1% |
| 4 | 3252 | 1.9% |
vehicle_leaving_carriageway
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.005078417 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 136659 |
| Zeros (%) | 81.6% |
| Negative | 644 |
| Negative (%) | 0.4% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 9 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 2.627550463 |
|---|---|
| Coefficient of variation (CV) | 2.614274089 |
| Kurtosis | 4.387558948 |
| Mean | 1.005078417 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.476679208 |
| Sum | 168225 |
| Variance | 6.904021433 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 136659 | |
| 9 | 12493 | 7.5% |
| 1 | 9294 | 5.6% |
| 7 | 4679 | 2.8% |
| 2 | 1133 | 0.7% |
| 3 | 848 | 0.5% |
| -1 | 644 | 0.4% |
| 8 | 614 | 0.4% |
| 4 | 534 | 0.3% |
| 5 | 335 | 0.2% |
| Value | Count | Frequency (%) |
| -1 | 644 | 0.4% |
| 0 | 136659 | |
| 1 | 9294 | 5.6% |
| 2 | 1133 | 0.7% |
| 3 | 848 | 0.5% |
| 4 | 534 | 0.3% |
| 5 | 335 | 0.2% |
| 6 | 142 | 0.1% |
| 7 | 4679 | 2.8% |
| 8 | 614 | 0.4% |
| Value | Count | Frequency (%) |
| 9 | 12493 | 7.5% |
| 8 | 614 | 0.4% |
| 7 | 4679 | 2.8% |
| 6 | 142 | 0.1% |
| 5 | 335 | 0.2% |
| 4 | 534 | 0.3% |
| 3 | 848 | 0.5% |
| 2 | 1133 | 0.7% |
| 1 | 9294 | 5.6% |
| 0 | 136659 |
hit_object_off_carriageway
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.986999253 |
| Minimum | -1 |
|---|---|
| Maximum | 99 |
| Zeros | 144089 |
| Zeros (%) | 86.1% |
| Negative | 4 |
| Negative (%) | < 0.1% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 99 |
| Maximum | 99 |
| Range | 100 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 26.2386465 |
|---|---|
| Coefficient of variation (CV) | 3.28516952 |
| Kurtosis | 8.063658341 |
| Mean | 7.986999253 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.162903526 |
| Sum | 1336824 |
| Variance | 688.4665701 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 144089 | |
| 99 | 12783 | 7.6% |
| 11 | 2229 | 1.3% |
| 4 | 1937 | 1.2% |
| 10 | 1813 | 1.1% |
| 1 | 1026 | 0.6% |
| 9 | 952 | 0.6% |
| 2 | 883 | 0.5% |
| 7 | 658 | 0.4% |
| 6 | 584 | 0.3% |
| Other values (4) | 421 | 0.3% |
| Value | Count | Frequency (%) |
| -1 | 4 | < 0.1% |
| 0 | 144089 | |
| 1 | 1026 | 0.6% |
| 2 | 883 | 0.5% |
| 3 | 340 | 0.2% |
| 4 | 1937 | 1.2% |
| 5 | 64 | < 0.1% |
| 6 | 584 | 0.3% |
| 7 | 658 | 0.4% |
| 8 | 13 | < 0.1% |
| Value | Count | Frequency (%) |
| 99 | 12783 | |
| 11 | 2229 | 1.3% |
| 10 | 1813 | 1.1% |
| 9 | 952 | 0.6% |
| 8 | 13 | < 0.1% |
| 7 | 658 | 0.4% |
| 6 | 584 | 0.3% |
| 5 | 64 | < 0.1% |
| 4 | 1937 | 1.2% |
| 3 | 340 | 0.2% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.993236744 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 9462 |
| Zeros (%) | 5.7% |
| Negative | 939 |
| Negative (%) | 0.6% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 4 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.750087857 |
|---|---|
| Coefficient of variation (CV) | 0.8780130423 |
| Kurtosis | 6.218340897 |
| Mean | 1.993236744 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.204005552 |
| Sum | 333618 |
| Variance | 3.062807509 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 82297 | |
| 2 | 26346 | 15.7% |
| 3 | 22421 | 13.4% |
| 4 | 20177 | 12.1% |
| 0 | 9462 | 5.7% |
| 9 | 5733 | 3.4% |
| -1 | 939 | 0.6% |
| Value | Count | Frequency (%) |
| -1 | 939 | 0.6% |
| 0 | 9462 | 5.7% |
| 1 | 82297 | |
| 2 | 26346 | 15.7% |
| 3 | 22421 | 13.4% |
| 4 | 20177 | 12.1% |
| 9 | 5733 | 3.4% |
| Value | Count | Frequency (%) |
| 9 | 5733 | 3.4% |
| 4 | 20177 | 12.1% |
| 3 | 22421 | 13.4% |
| 2 | 26346 | 15.7% |
| 1 | 82297 | |
| 0 | 9462 | 5.7% |
| -1 | 939 | 0.6% |
vehicle_left_hand_drive
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| 1 | |
|---|---|
| 9 | 9444 |
| 2 | 1347 |
| -1 | 877 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.005239731 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 9 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 155707 | |
| 9 | 9444 | 5.6% |
| 2 | 1347 | 0.8% |
| -1 | 877 | 0.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 156584 | |
| 9 | 9444 | 5.6% |
| 2 | 1347 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
journey_purpose_of_driver
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.717066468 |
| Minimum | -1 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 184 |
| Negative (%) | 0.1% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 6 |
| Q3 | 6 |
| 95-th percentile | 6 |
| Maximum | 6 |
| Range | 7 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.914970801 |
|---|---|
| Coefficient of variation (CV) | 0.4059664655 |
| Kurtosis | -0.4672557474 |
| Mean | 4.717066468 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.132316708 |
| Sum | 789519 |
| Variance | 3.66711317 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 6 | 99151 | |
| 5 | 26104 | 15.6% |
| 1 | 22408 | 13.4% |
| 2 | 17309 | 10.3% |
| 3 | 1625 | 1.0% |
| 4 | 594 | 0.4% |
| -1 | 184 | 0.1% |
| Value | Count | Frequency (%) |
| -1 | 184 | 0.1% |
| 1 | 22408 | 13.4% |
| 2 | 17309 | 10.3% |
| 3 | 1625 | 1.0% |
| 4 | 594 | 0.4% |
| 5 | 26104 | 15.6% |
| 6 | 99151 |
| Value | Count | Frequency (%) |
| 6 | 99151 | |
| 5 | 26104 | 15.6% |
| 4 | 594 | 0.4% |
| 3 | 1625 | 1.0% |
| 2 | 17309 | 10.3% |
| 1 | 22408 | 13.4% |
| -1 | 184 | 0.1% |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| -1 | 13 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.00007767 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 106240 | |
| 2 | 41820 | 25.0% |
| 3 | 19302 | 11.5% |
| -1 | 13 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 106253 | |
| 2 | 41820 | 25.0% |
| 3 | 19302 | 11.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 99 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.50965795 |
| Minimum | -1 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 23344 |
| Negative (%) | 13.9% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 22 |
| median | 34 |
| Q3 | 49 |
| 95-th percentile | 69 |
| Maximum | 100 |
| Range | 101 |
| Interquartile range (IQR) | 27 |
Descriptive statistics
| Standard deviation | 20.79751733 |
|---|---|
| Coefficient of variation (CV) | 0.6026578807 |
| Kurtosis | -0.392178558 |
| Mean | 34.50965795 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 0.01386833901 |
| Sum | 5776054 |
| Variance | 432.536727 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -1 | 23344 | 13.9% |
| 30 | 5308 | 3.2% |
| 29 | 3672 | 2.2% |
| 28 | 3622 | 2.2% |
| 25 | 3599 | 2.2% |
| 27 | 3514 | 2.1% |
| 32 | 3471 | 2.1% |
| 26 | 3468 | 2.1% |
| 31 | 3386 | 2.0% |
| 33 | 3382 | 2.0% |
| Other values (89) | 110609 |
| Value | Count | Frequency (%) |
| -1 | 23344 | |
| 3 | 2 | < 0.1% |
| 4 | 10 | < 0.1% |
| 5 | 22 | < 0.1% |
| 6 | 39 | < 0.1% |
| 7 | 46 | < 0.1% |
| 8 | 46 | < 0.1% |
| 9 | 70 | < 0.1% |
| 10 | 100 | 0.1% |
| 11 | 187 | 0.1% |
| Value | Count | Frequency (%) |
| 100 | 1 | < 0.1% |
| 99 | 2 | < 0.1% |
| 98 | 3 | < 0.1% |
| 97 | 3 | < 0.1% |
| 96 | 9 | < 0.1% |
| 95 | 10 | < 0.1% |
| 94 | 14 | < 0.1% |
| 93 | 34 | |
| 92 | 48 | |
| 91 | 55 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.780271845 |
| Minimum | -1 |
|---|---|
| Maximum | 11 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 23344 |
| Negative (%) | 13.9% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 5 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 10 |
| Maximum | 11 |
| Range | 12 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.185713259 |
|---|---|
| Coefficient of variation (CV) | 0.5511355426 |
| Kurtosis | 0.3274912128 |
| Mean | 5.780271845 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -1.003102528 |
| Sum | 967473 |
| Variance | 10.14876897 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 6 | 36494 | |
| 7 | 27108 | |
| 8 | 24008 | |
| -1 | 23344 | |
| 5 | 16695 | |
| 9 | 15562 | |
| 4 | 11046 | 6.6% |
| 10 | 6941 | 4.1% |
| 11 | 4343 | 2.6% |
| 3 | 1499 | 0.9% |
| Other values (2) | 335 | 0.2% |
| Value | Count | Frequency (%) |
| -1 | 23344 | |
| 1 | 34 | < 0.1% |
| 2 | 301 | 0.2% |
| 3 | 1499 | 0.9% |
| 4 | 11046 | 6.6% |
| 5 | 16695 | |
| 6 | 36494 | |
| 7 | 27108 | |
| 8 | 24008 | |
| 9 | 15562 |
| Value | Count | Frequency (%) |
| 11 | 4343 | 2.6% |
| 10 | 6941 | 4.1% |
| 9 | 15562 | |
| 8 | 24008 | |
| 7 | 27108 | |
| 6 | 36494 | |
| 5 | 16695 | |
| 4 | 11046 | 6.6% |
| 3 | 1499 | 0.9% |
| 2 | 301 | 0.2% |
| Distinct | 985 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1332.294554 |
| Minimum | -1 |
|---|---|
| Maximum | 17696 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 43603 |
| Negative (%) | 26.1% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 1368 |
| Q3 | 1910 |
| 95-th percentile | 2987 |
| Maximum | 17696 |
| Range | 17697 |
| Interquartile range (IQR) | 1911 |
Descriptive statistics
| Standard deviation | 1543.509942 |
|---|---|
| Coefficient of variation (CV) | 1.158535053 |
| Kurtosis | 26.12224291 |
| Mean | 1332.294554 |
| Median Absolute Deviation (MAD) | 627 |
| Skewness | 4.109213084 |
| Sum | 222992801 |
| Variance | 2382422.942 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -1 | 43603 | |
| 1598 | 9171 | 5.5% |
| 1995 | 5440 | 3.3% |
| 1968 | 5292 | 3.2% |
| 998 | 4830 | 2.9% |
| 125 | 4825 | 2.9% |
| 1560 | 3784 | 2.3% |
| 1242 | 3362 | 2.0% |
| 2143 | 2835 | 1.7% |
| 1997 | 2812 | 1.7% |
| Other values (975) | 81421 |
| Value | Count | Frequency (%) |
| -1 | 43603 | |
| 7 | 1 | < 0.1% |
| 42 | 1 | < 0.1% |
| 48 | 16 | < 0.1% |
| 49 | 449 | 0.3% |
| 50 | 101 | 0.1% |
| 79 | 2 | < 0.1% |
| 85 | 11 | < 0.1% |
| 89 | 2 | < 0.1% |
| 96 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 17696 | 1 | < 0.1% |
| 16400 | 17 | |
| 16353 | 16 | |
| 16350 | 1 | < 0.1% |
| 16123 | 2 | < 0.1% |
| 16120 | 1 | < 0.1% |
| 16000 | 5 | < 0.1% |
| 15928 | 1 | < 0.1% |
| 15607 | 9 | |
| 15256 | 2 | < 0.1% |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9701209858 |
| Minimum | -1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 43015 |
| Negative (%) | 25.7% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 2 |
| Maximum | 12 |
| Range | 13 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.585309874 |
|---|---|
| Coefficient of variation (CV) | 1.634136255 |
| Kurtosis | 7.256120777 |
| Mean | 0.9701209858 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.6993152 |
| Sum | 162374 |
| Variance | 2.513207398 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 67383 | |
| 2 | 52598 | |
| -1 | 43015 | |
| 8 | 3765 | 2.2% |
| 3 | 459 | 0.3% |
| 7 | 64 | < 0.1% |
| 12 | 56 | < 0.1% |
| 5 | 18 | < 0.1% |
| 6 | 15 | < 0.1% |
| 4 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| -1 | 43015 | |
| 1 | 67383 | |
| 2 | 52598 | |
| 3 | 459 | 0.3% |
| 4 | 1 | < 0.1% |
| 5 | 18 | < 0.1% |
| 6 | 15 | < 0.1% |
| 7 | 64 | < 0.1% |
| 8 | 3765 | 2.2% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 12 | 56 | < 0.1% |
| 9 | 1 | < 0.1% |
| 8 | 3765 | 2.2% |
| 7 | 64 | < 0.1% |
| 6 | 15 | < 0.1% |
| 5 | 18 | < 0.1% |
| 4 | 1 | < 0.1% |
| 3 | 459 | 0.3% |
| 2 | 52598 | |
| 1 | 67383 |
| Distinct | 75 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.820600448 |
| Minimum | -1 |
|---|---|
| Maximum | 96 |
| Zeros | 4000 |
| Zeros (%) | 2.4% |
| Negative | 43072 |
| Negative (%) | 25.7% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 5 |
| Q3 | 11 |
| 95-th percentile | 17 |
| Maximum | 96 |
| Range | 97 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 6.331929007 |
|---|---|
| Coefficient of variation (CV) | 1.087848077 |
| Kurtosis | 3.021169788 |
| Mean | 5.820600448 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.9891865746 |
| Sum | 974223 |
| Variance | 40.09332495 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -1 | 43072 | |
| 1 | 9310 | 5.6% |
| 4 | 9260 | 5.5% |
| 5 | 8746 | 5.2% |
| 3 | 8512 | 5.1% |
| 2 | 8400 | 5.0% |
| 6 | 7816 | 4.7% |
| 7 | 7132 | 4.3% |
| 13 | 6716 | 4.0% |
| 8 | 6545 | 3.9% |
| Other values (65) | 51866 |
| Value | Count | Frequency (%) |
| -1 | 43072 | |
| 0 | 4000 | 2.4% |
| 1 | 9310 | 5.6% |
| 2 | 8400 | 5.0% |
| 3 | 8512 | 5.1% |
| 4 | 9260 | 5.5% |
| 5 | 8746 | 5.2% |
| 6 | 7816 | 4.7% |
| 7 | 7132 | 4.3% |
| 8 | 6545 | 3.9% |
| Value | Count | Frequency (%) |
| 96 | 1 | < 0.1% |
| 93 | 1 | < 0.1% |
| 92 | 1 | < 0.1% |
| 88 | 2 | |
| 86 | 2 | |
| 84 | 1 | < 0.1% |
| 78 | 1 | < 0.1% |
| 68 | 1 | < 0.1% |
| 67 | 3 | |
| 66 | 1 | < 0.1% |
| Distinct | 692 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| -1 | |
|---|---|
| FORD FIESTA | 4850 |
| VAUXHALL CORSA | 4066 |
| VAUXHALL ASTRA | 3748 |
| FORD FOCUS | 3744 |
| Other values (687) |
Length
| Max length | 30 |
|---|---|
| Median length | 11 |
| Mean length | 9.877138163 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | AUDI Q5 |
|---|---|
| 2nd row | AUDI A1 |
| 3rd row | -1 |
| 4th row | TOYOTA PRIUS |
| 5th row | BMW 4 SERIES |
Common Values
| Value | Count | Frequency (%) |
| -1 | 47637 | |
| FORD FIESTA | 4850 | 2.9% |
| VAUXHALL CORSA | 4066 | 2.4% |
| VAUXHALL ASTRA | 3748 | 2.2% |
| FORD FOCUS | 3744 | 2.2% |
| VOLKSWAGEN GOLF | 3695 | 2.2% |
| BMW 3 SERIES | 2535 | 1.5% |
| VOLKSWAGEN POLO | 2248 | 1.3% |
| MERCEDES C CLASS | 1767 | 1.1% |
| TOYOTA YARIS | 1642 | 1.0% |
| Other values (682) | 91443 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 49279 | 15.6% |
| ford | 15568 | 4.9% |
| vauxhall | 12851 | 4.1% |
| volkswagen | 9790 | 3.1% |
| bmw | 7654 | 2.4% |
| mercedes | 7386 | 2.3% |
| honda | 6794 | 2.2% |
| series | 6510 | 2.1% |
| toyota | 6421 | 2.0% |
| audi | 5497 | 1.7% |
| Other values (734) | 188228 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.904143391 |
| Minimum | -1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 31406 |
| Negative (%) | 18.8% |
| Memory size | 1.3 MiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 1 |
| median | 4 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.445328859 |
|---|---|
| Coefficient of variation (CV) | 0.8824801023 |
| Kurtosis | -1.104427259 |
| Mean | 3.904143391 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.1028354394 |
| Sum | 653456 |
| Variance | 11.87029094 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| -1 | 31406 | |
| 2 | 16706 | |
| 3 | 16306 | |
| 1 | 15378 | |
| 4 | 15131 | |
| 5 | 14460 | |
| 6 | 13655 | |
| 7 | 12267 | 7.3% |
| 8 | 11597 | 6.9% |
| 9 | 10935 | 6.5% |
| Value | Count | Frequency (%) |
| -1 | 31406 | |
| 1 | 15378 | |
| 2 | 16706 | |
| 3 | 16306 | |
| 4 | 15131 | |
| 5 | 14460 | |
| 6 | 13655 | |
| 7 | 12267 | 7.3% |
| 8 | 11597 | 6.9% |
| 9 | 10935 | 6.5% |
| Value | Count | Frequency (%) |
| 10 | 9534 | |
| 9 | 10935 | |
| 8 | 11597 | |
| 7 | 12267 | |
| 6 | 13655 | |
| 5 | 14460 | |
| 4 | 15131 | |
| 3 | 16306 | |
| 2 | 16706 | |
| 1 | 15378 |
driver_home_area_type
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 MiB |
| 1 | |
|---|---|
| -1 | |
| 3 | |
| 2 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.186497386 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | -1 |
| 4th row | 1 |
| 5th row | -1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 110099 | |
| -1 | 31215 | 18.6% |
| 3 | 14820 | 8.9% |
| 2 | 11241 | 6.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 141314 | |
| 3 | 14820 | 8.9% |
| 2 | 11241 | 6.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| accident_index | accident_year | accident_reference | vehicle_reference | vehicle_type | towing_and_articulation | vehicle_manoeuvre | vehicle_direction_from | vehicle_direction_to | vehicle_location_restricted_lane | junction_location | skidding_and_overturning | hit_object_in_carriageway | vehicle_leaving_carriageway | hit_object_off_carriageway | first_point_of_impact | vehicle_left_hand_drive | journey_purpose_of_driver | sex_of_driver | age_of_driver | age_band_of_driver | engine_capacity_cc | propulsion_code | age_of_vehicle | generic_make_model | driver_imd_decile | driver_home_area_type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2020010219808 | 2020 | 10219808 | 1 | 9 | 9 | 5 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | 6 | 2 | 32 | 6 | 1968 | 2 | 6 | AUDI Q5 | 4 | 1 |
| 1 | 2020010220496 | 2020 | 10220496 | 1 | 9 | 0 | 4 | 2 | 6 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 45 | 7 | 1395 | 1 | 2 | AUDI A1 | 7 | 1 |
| 2 | 2020010228005 | 2020 | 10228005 | 1 | 9 | 0 | 18 | -1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 |
| 3 | 2020010228006 | 2020 | 10228006 | 1 | 8 | 0 | 18 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 44 | 7 | 1798 | 8 | 8 | TOYOTA PRIUS | 2 | 1 |
| 4 | 2020010228011 | 2020 | 10228011 | 1 | 9 | 0 | 18 | 3 | 7 | 9 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 1 | 20 | 4 | 2993 | 2 | 4 | BMW 4 SERIES | -1 | -1 |
| 5 | 2020010228012 | 2020 | 10228012 | 1 | 9 | 0 | 18 | 1 | 5 | 0 | 1 | 0 | 10 | 0 | 0 | 1 | 1 | 6 | 1 | 25 | 5 | 1390 | 1 | 5 | AUDI A1 | 4 | 1 |
| 6 | 2020010228014 | 2020 | 10228014 | 1 | 9 | 0 | 18 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 41 | 7 | 1969 | 2 | 4 | VOLVO V60 | 3 | 1 |
| 7 | 2020010228014 | 2020 | 10228014 | 2 | 9 | 3 | 18 | 1 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | 19 | 4 | 2143 | 2 | 4 | MERCEDES C CLASS | -1 | -1 |
| 8 | 2020010228017 | 2020 | 10228017 | 1 | 9 | 0 | 18 | 3 | 7 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 32 | 6 | 2993 | 2 | 8 | JAGUAR XF SERIES | 8 | 1 |
| 9 | 2020010228017 | 2020 | 10228017 | 2 | 9 | 0 | 3 | 3 | 7 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 1 | 26 | 6 | 2993 | 2 | 0 | BMW X5 | 2 | 1 |
Last rows
| accident_index | accident_year | accident_reference | vehicle_reference | vehicle_type | towing_and_articulation | vehicle_manoeuvre | vehicle_direction_from | vehicle_direction_to | vehicle_location_restricted_lane | junction_location | skidding_and_overturning | hit_object_in_carriageway | vehicle_leaving_carriageway | hit_object_off_carriageway | first_point_of_impact | vehicle_left_hand_drive | journey_purpose_of_driver | sex_of_driver | age_of_driver | age_band_of_driver | engine_capacity_cc | propulsion_code | age_of_vehicle | generic_make_model | driver_imd_decile | driver_home_area_type | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 167365 | 2020991024209 | 2020 | 991024209 | 2 | 9 | 0 | 13 | 4 | 8 | 0 | 8 | 0 | 0 | 7 | 0 | 1 | 1 | 5 | 1 | 36 | 7 | 1968 | 2 | 3 | VOLKSWAGEN PASSAT | 10 | 3 |
| 167366 | 2020991024526 | 2020 | 991024526 | 1 | 98 | 0 | 18 | 6 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 3 | 1 | 1 | 1 | 43 | 7 | -1 | -1 | -1 | -1 | 3 | 1 |
| 167367 | 2020991027064 | 2020 | 991027064 | 1 | 9 | 0 | 16 | 3 | 7 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 27 | 6 | -1 | -1 | -1 | -1 | 2 | 1 |
| 167368 | 2020991027064 | 2020 | 991027064 | 2 | 1 | 0 | 5 | 1 | 5 | 0 | 6 | 0 | 0 | 0 | 0 | 4 | 1 | 5 | 1 | 11 | 3 | -1 | -1 | -1 | -1 | 2 | 1 |
| 167369 | 2020991029573 | 2020 | 991029573 | 1 | 9 | 0 | 1 | 5 | 1 | 5 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 2 | 39 | 7 | 1598 | 1 | 7 | NISSAN QASHQAI | 10 | 1 |
| 167370 | 2020991030297 | 2020 | 991030297 | 1 | 9 | 0 | 7 | 8 | 2 | 0 | 6 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 57 | 9 | 1968 | 2 | 2 | AUDI A5 | 7 | 1 |
| 167371 | 2020991030297 | 2020 | 991030297 | 2 | 5 | 0 | 16 | 6 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 1 | 38 | 7 | 1301 | 1 | 2 | KTM 1290 SUPERDUKE | 9 | 2 |
| 167372 | 2020991030900 | 2020 | 991030900 | 1 | 9 | 0 | 7 | 8 | 2 | 0 | 6 | 0 | 0 | 0 | 0 | 3 | 1 | 6 | 2 | 68 | 10 | 1995 | 2 | 1 | BMW X3 | 5 | 1 |
| 167373 | 2020991030900 | 2020 | 991030900 | 2 | 1 | 0 | 18 | 6 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 1 | 76 | 11 | -1 | -1 | -1 | -1 | 9 | 1 |
| 167374 | 2020991032575 | 2020 | 991032575 | 1 | 9 | 0 | 1 | 8 | 4 | 0 | 0 | 0 | 12 | 0 | 0 | 2 | 1 | 6 | 1 | 39 | 7 | 999 | 1 | 2 | FORD FOCUS | 7 | 1 |
Most frequently occurring
| accident_year | vehicle_reference | vehicle_type | towing_and_articulation | vehicle_manoeuvre | vehicle_direction_from | vehicle_direction_to | vehicle_location_restricted_lane | junction_location | skidding_and_overturning | hit_object_in_carriageway | vehicle_leaving_carriageway | hit_object_off_carriageway | first_point_of_impact | vehicle_left_hand_drive | journey_purpose_of_driver | sex_of_driver | age_of_driver | age_band_of_driver | engine_capacity_cc | propulsion_code | age_of_vehicle | generic_make_model | driver_imd_decile | driver_home_area_type | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1284 | 2020 | 2 | 9 | 0 | 99 | 9 | 9 | 99 | 9 | 9 | 99 | 9 | 99 | 9 | 9 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 198 |
| 1231 | 2020 | 2 | 9 | 0 | 99 | 9 | 9 | 99 | 9 | 9 | 99 | 9 | 99 | 1 | 9 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 189 |
| 974 | 2020 | 2 | 9 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 105 |
| 979 | 2020 | 2 | 9 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 69 |
| 1410 | 2020 | 3 | 9 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 66 |
| 471 | 2020 | 1 | 9 | 0 | 18 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 62 |
| 1273 | 2020 | 2 | 9 | 0 | 99 | 9 | 9 | 99 | 9 | 9 | 99 | 9 | 99 | 2 | 9 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 58 |
| 972 | 2020 | 2 | 9 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 56 |
| 683 | 2020 | 1 | 9 | 0 | 18 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 53 |
| 547 | 2020 | 1 | 9 | 0 | 18 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 3 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | 52 |